A global demo video contest featuring creative and impactful solutions built by InterSystems Sales Engineers.
👨💻 What’s happening?
Sales Engineers across the company are submitting short demo videos showcasing how they use InterSystems technologies to solve real-world challenges*. As part of the contest, we’re opening the voting to the Developer Community — your input will help determine the winners.
If you're an InterSystems Sales Engineer: You can submit your demo video internally through the official form until August 31, 2025.
Everyone else — developers, customers, partners, and InterSystems employees: Watch the demo videos and vote for your top 3 favorites — voting is open until September 14, 2025.
✅ Voting details:
All active members who have made a valid contribution to the Developer Community or Open Exchange — such as asking or answering questions, writing articles, or publishing applications — are eligible to vote. This includes customers, partners, and employees who registered using their corporate email addresses.
Select your top 3 favorite videos, click the “Vote” button under each announcement, and assign a place:
🏆 Scoring system:
1st place vote = 9 points
2nd place = 6 points
3rd place = 3 points
🔁 Votes from the Official Community Moderators count double.
🗓 Deadlines
Submission period: May 26 - August 31, 2025
Voting period: May 26 - September 14, 2025
Winners announced: week of September 15, 2025
New demos will be added throughout the contest, so check back regularly!
Let the Demo Games begin — and may the best demo win!
* Please note: The videos submitted as part of the InterSystems Demo Games are for demonstration purposes only. They reflect the creativity and personal perspective of the participants and do not necessarily represent official product features, development plans, or future commitments from InterSystems. Any concepts or ideas presented in these demos should not be interpreted as announcements or guarantees of future product functionality.
An AI Agent Platform specifically built for the healthcare industry that requires no technical background to utilize. By simply defining a goal or initiative, a swarm of AI agents will conduct operations to achieve the stated end goal and measure their own efficacy along the way to continuously improve. Healthcare organizations today are facing a myriad of challenges that impact financial and clinical performance. These problems are well known, and there is a general consensus on how many of them can be alleviated with AI. However, healthcare organizations face unique challenges in implementing AI:
HIPAA/Regulatory compliance - Data quality & accessibility - Embedding AI into current clinical workflows, i.e. integrating AI in such a way that it does not require clinicians to re-orient their processes. It should complement existing workflows, not disrupt them.
Implementation cost/high technical barrier of entry – staff needed to build and maintain AI processes can become expensive
Ambiguous ROI calculation – careful considerations must be made to properly measure and understand the efficacy of AI integrations. InterSystems is uniquely positioned to address these challenges, enabling healthcare organizations to implement AI with minimal burden.
Between recalled supplies, expired inventory, and rogue spending, an estimated $25 billion per year goes to waste in healthcare supply chains. We know how critical supply chain is in healthcare, so we know this is a problem worth solving! What could a proposed solution look like? Watch and find out!
Care Compass is a prototype AI assistant that helps caseworkers prioritize clients by analyzing clinical and social data. Using Retrieval Augmented Generation (RAG) and large language models, it generates narrative risk summaries, calculates dynamic risk scores, and recommends next steps. The goal is to reduce preventable ER visits and support early, informed interventions.
In this demo, InterSystems IRIS Interoperability comes alive in an amazing, game-like user experience based on our Ultimate Control Tower demo. We visualize machines in a virtual 3D factory building, interacting with InterSystems IRIS in real time—displaying current statuses and sensor data, simulating machine outages and predictive maintenance scenarios, and triggering workflow tasks and actions in InterSystems IRIS. By using a mobile app on a tablet—and even a VR headset for a fully immersive experience—we unleash the power of InterSystems IRIS.
Leverage InterSystems's FHIR SQL Builder to project FHIR data to a dataset for vector embedding, and feed the vector store to a RAG chain with LLM and Chatbot.
MyVitals is a Personal Health Device Hub that bridges the gap between wearable health devices and clinical workflows. In this demo, we show how healthcare organizations can enroll patients, collect real-time data from personal devices via mobile apps, and seamlessly integrate that information into EHR systems using FHIR, HL7, and InterSystems technology. Built on IRIS for Health and FHIR repositories, MyVitals turns disconnected wearable data into actionable clinical insights—securely, efficiently, and at scale.
Data, as a new type of production resource, has received increasing attention. The current economic development situation has raised many new demands for how to create usable value from data at scale. In reality, siloed systems, inconsistent data semantics, and difficulties in data deployment have greatly hindered the development of the data economy. InterSystems IRIS, as an integrated data platform, provides many capabilities to help enterprises and healthcare institutions open up data and leverage data value. In this demonstration, we will describe what challenges the data economy poses for data production, and how IRIS addresses these issues using its rich and powerful features.
The Trial AI platform leverages InterSystems cloud services including the FHIR Transformation Service and IRIS Cloud SQL to assist with clinical trial recruitment, an expensive and prevalent problem. It does this by ingesting structured and unstructured healthcare data, then uses AI to help identify eligible patients.
For venture capitalists (VCs), evaluating research can be challenging. While researchers typically possess years of training and deep expertise in their field, the VCs tasked with assessing their work often lack domain-specific knowledge. This can lead to incomplete understanding of scientific data and an inability to direct organizational initiatives. To solve this problem, we have designed a solution that empowers VCs with AI-driven due diligence: ResearchExplorer. ResearchExplorer is powered by InterSystems IRIS and GPT-4o to help analyze private biomedical research alongside public sources like PubMed using Retrieval-Augmented Generation (RAG). Users submit natural language queries, and the system returns structured insights, head-to-head research comparisons, and AI-generated summaries. This allows users to bridge expertise gaps while securely protecting proprietary data.
Kubernetes horizontal pod auto-scaling (HPA) is the key to handle the unpredictable compute workload in healthcare systems. IKO helps orchestrating the IRIS container deployment in Kubernetes including the capability to configure HPA. This demo uses XSLT processing as an example to showcase this type of elasticity.
Navigating interoperability and healthcare can be an exciting adventure. In this demo, we will show you how InterSystems IRIS can be the perfect tool to get data - wherever it may lie, in whatever format, into a format of your choice, including FHIR! Once that is done, analytics is a piece of cake with the FHIR SQL Builder and Deep See Web. Let the questing begin!
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